Mingyuan Rong ☕️

About Me

I am a Ph.D. candidate in Mathematics at the University of Science and Technology of China. My research interests include extremal set theory and extremal graph theory. I am currently working under the supervision of Prof. Jie Ma and has published several preprints in these areas.

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Interests
  • Extremal Set Theory
  • Extremal Graph Theory
Education
  • Ph.D. in Mathematics

    University of Science and Technology of China

  • B.Sc. in Mathematics

    University of Science and Technology of China

Publications
(2025). Interpolating chromatic and homomorphism thresholds.
(2024). Exact Results on Traces of Sets.
(2024). Sublinear Hitting Sets for Some Geometric Graphs.
(2023). Complexity of null dynamical systems and Sauer--Shelah lemmas.
Co-authors
Xinqi Huang(2), Jie Ma(2), Zixiang Xu(2), Xinbu Cheng(1), Guorong Gao(1), Mingze Li(1), Hong Liu(1), Tuan Tran(1).
Useful websites
  • Here are three tools that significantly improved my research workflow:
  • Deepseek
    When I need quick AI assistance for technical problems, Deepseek has become my go-to tool. Its R1 version responds almost instantly, and what’s really cool is you can actually see how the AI thinks through problems step by step - like watching someone’s thought process in real time. This transparency helps me adjust my questions better when the initial response isn’t quite right.
  • Inciteful
    For literature discovery, I prefer Inciteful over Connected Papers because it lets me analyze multiple papers at once. Imagine being able to search for papers based on 5-10 papers simultaneously - it’s like having a research map that shows hidden relationships between different papers. By identifying works that have multiple references to my input papers, it reveals connections that single-paper analysis would miss, creating more comprehensive research maps.
  • Undermind
    When I’m not exactly sure what keywords to search, Undermind is my secret weapon. Unlike traditional keyword searches, its AI-powered system allows you to search without any keywords - you can progressively narrow or broaden the scope through dialogue, it understands the context like a research partner would. The downside is it is very slow, since it need to use LLM for vague searching.